🧪 Core Techniques
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🔍 Location-based Services:
- 🗺️ Geohashing Encoding geographic coordinates into a string of characters, enabling efficient spatial data querying and indexing.
- 🔢 Quadtree: A tree data structure used for organizing and storing spatial data, facilitating faster search and manipulation in 2D space.
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🔄 Load Balancing within Clusters:
- 🔢 Consistent Hashing: A distributed hashing scheme that ensures even distribution of load across multiple nodes, minimizing the impact of adding or removing nodes.
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📉 Rate Limiting:
- ⏳ ⏳ Leaky Bucket A simple rate-limiting algorithm that virtually “leaks” tokens at a constant rate, allowing requests to be processed up to a predefined capacity.
- 🔄 Token Bucket: A rate-limiting algorithm that uses a fixed-size token bucket to track the number of available resources for processing incoming requests.
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🔍 Search Autocomplete:
- 🦾 Trie: A tree-like data structure used for efficient search and retrieval of strings, enabling fast autocomplete functionality in text input fields.
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💼 File Transfers:
- 📊 Rsync: A file transfer protocol that efficiently synchronizes files between systems by transferring only the differences between source and destination files.
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🔑 Consensus Algorithms:
- 🔄 Raft Paxos: Distributed consensus algorithms ensuring agreement among nodes in a distributed system, enabling reliable data replication and coordination.
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📌 Eliminate Costly Lookups:
- 🌀 Bloom filter: A probabilistic data structure used for efficient set membership queries, providing fast false-positive identification at the cost of occasional false negatives.
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🔍 Inconsistency Detection:
- 📈 Merkle Tree: A binary tree where each non-leaf node is a hash of its child nodes’ values, enabling efficient detection of data inconsistencies across distributed systems.
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🏷️ Counting Unique Values Fast:
- 🌳 HyperLogLog: A probabilistic data structure for estimating the number of unique elements in a dataset with minimal storage overhead and high processing speed.
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📊 Frequency Estimation:
- 📈 🔢 Count-Min Sketch: A space-efficient probabilistic data structure used for estimating frequency of items in large datasets, providing approximate counts with low error rates.
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🗓️ Job Scheduler:
- 🔢 Hierarchical Timing Wheels: An efficient job scheduling algorithm that uses a hierarchical wheel structure to organize and prioritize tasks based on their execution times.
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📝 Collaborative Editing:
- 🔄 Operational Transformation: A technique used in collaborative editing systems, ensuring consistent state maintenance among multiple users editing the same document simultaneously.